3 papers
cs.RO2026
Bayesian Preference Elicitation: Human-In-The-Loop Optimization of An Active Prosthesis
Sophia Taddei, Wouter Koppen, Eligia Alfio +8
Tuning active prostheses for people with amputation is time-consuming and relies on metrics that may not fully reflect user needs. We introduce a human-in-the-loop optimization (HI…
cs.LG2026
Maximizing Reliability with Bayesian Optimization
Jack M. Buckingham, Ivo Couckuyt, Juergen Branke
Bayesian optimization (BO) is a popular, sample-efficient technique for expensive, black-box optimization. One such problem arising in manufacturing is that of maximizing the relia…
math.OC2024
Introducing DAIMYO: a first-time-right dynamic design architecture and its application to tail-sitter UAS development
Jolan Wauters, Tom Lefebvre, Joris Degroote +2
In recent years, there has been a notable evolution in various multidisciplinary design methodologies for dynamic systems. Among these approaches, a noteworthy concept is that of c…